How to Share Custom Reports, Dashboards, and Template Links in Google Analytics with Others
Learn how to easily share custom reports, dashboards, and template links in Google Analytics with your organization and clients.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Ably at GopherCon UK
Ably was the delegate sponsor at GopherCon UK this year and we had a great time. The conference was held in The Brewery, London. For many of our team members it was the first physical developer event they had been to in almost two years. Whilst I am thrilled to be returning to face-to-face interaction and the depth of conversation they enable, I certainly forgot how early a start physical events are.
Your Guide to Data-Driven Decision Making with John Damalas, VP and CTO of Pacific Life
In this episode, John Damalas, VP and CTO of Pacific Life, talks about how you can have a successful digital transformation, data-driven decision making, the benefits of third-party data, and much more.
Generating Google Slides with BigQuery and Apps Script
Have you ever been asked to prepare a slide deck containing many data points? Maybe you sifted through the data yourself along with copying and pasting the data over and over again—talk about a huge time commitment. In this video, Leigha Jarett discusses how you can use Google Apps Scripts to automate data-driven slide development and save yourself a lot of time.
How to implement shoulder-checks and improve quality as a team
The software Quality Assurance role (QA) has traditionally been seen as a person who finds bugs and tries to break things. While these tasks still remain a big part of the QA’s role, the industry has seen a shift towards a more holistic approach where the QA role advocates for the overall quality of delivery — both product and process. Incorporating the exercise of “shoulder checks” into the agile software development lifecycle increases quality output.
Managing Costs for Spark on Amazon EMR
Are you looking to optimize costs and resource usage for your Spark jobs on Amazon EMR? Then this is the webinar for you. Overallocating resources, such as memory, is a common fault when setting up Spark jobs. And for Spark jobs running on EMR, adding resources is a click away - but it’s an expensive click, so cost management is critical. Unravel Data is our AI-enabled observability platform for Spark jobs on Amazon EMR and other Big Data technologies. Unravel helps you right-size memory allocations, choose the right number of workers, and map your cluster needs to available instance types.
Fireside Chat - Top 4 Strategies for Testing Business Software
Today's business software users want consumer-like digital experiences, and quality is critical for customer adoption and retention. But with expanding product scope and increasingly diverse end-users, are your software testing practices keeping up with customers' expectations?
Adapting FMEA Steps for Modern Risk Management
If you’re in a regulated industry, you or your team has likely had to use Failure Mode and Effects Analysis (FMEA) for compliance. But because of the way regulated industries have to balance between the world of very strict quality standards and also high-velocity Agile processes, traditional FMEA has to evolve in order to meet the challenges that are arising in this new reality.
Moesif API Analytics is SOC 2 Compliant
Moesif is pleased to announce that it has successfully completed its SOC 2 Certification. The Moesif API Analytics Platform has now been independently verified to comply with the highest standards of security. Through completion of this comprehensive level of certification, Moesif has demonstrated that it can reliably and securely maintain the confidentiality, availability and integrity of enterprises’ critical data assets.
Expanding Your Analytics Audience: Make Information More Accessible with Natural Language Query
In an ideal world, all employees serving across all job functions would be able to access and analyze all the information they need with ease. Unfortunately, today most analytics technologies still require specialized skills and expertise. As a business intelligence industry we try to overcome these obstacles by making self-service analysis easier with improvements to the user interface and streamlined processes. But we know that analysis, by nature, is complex and requires data literacy and skills.